5. Recognition and understanding of continuous speech
5.1 Problem position
The use of isolated words considerably limits the richness of communication between man and machine. Only natural, continuous speech provides the level of expression required for applications of a certain complexity. This involves taking into account the process of encoding the speech signal before it is emitted by a speaker, and exploiting the information (acoustic, linguistic, etc.) required to understand the sentence or portion of sentence emitted. In addition to the context of the dialogue in which a sentence is inserted, the main sources of knowledge and information are as follows:
acoustic-phonetic. This information governs the phonetic transcription of the message; to it must be added phonological information...
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Recognition and understanding of continuous speech
Robust recognition methods
Bibliography
Software tools
HTK (HMM ToolKit): open-source software for the development of complete speech recognition applications based on MMC http://www.htk.eng.cam.ac.uk/
VISPER (Visual speech processing system): free software for visualizing dynamic programming and MMC recognition stages, developed by the Technical University of Liberec, Czech...
Directory
Manufacturers – Suppliers – Distributors (non-exhaustive list)
Companies specializing in automatic speech processing:
Vecsys http://www.vecsys.fr/presentation/index.htm
Loquendo http://www.loquendo.com/fr/
...Documentation
Speech Communication magazine (4 issues/year)
IEEE Transactions on Pattern Recognition and Machine Intelligence (6 issues/year)
International Journal of Pattern Recognition and Artificial Intelligence (4 issues/year)
Journal of the Acoustical Society of America (12 issues/year)
Traitement du Signal magazine (4 issues/year)...
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